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20212026
most citedNeural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction

23 citations · 64 across the 20 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.GR2024

Towards Voronoi Diagrams of Surface Patches

Pengfei Wang, Jiantao Song, Lei Wang +5

Extraction of a high-fidelity 3D medial axis is a crucial operation in CAD. When dealing with a polygonal model as input, ensuring accuracy and tidiness becomes challenging due to…

cs.GR2024

ITS: Implicit Thin Shell for Polygonal Meshes

Huibiao Wen, Lei Wang, Yunxiao Zhang +6

In computer graphics, simplifying a polygonal mesh surface~ into a geometric proxy that maintains close conformity to~ is crucial, as it can significantly…

cs.CG2024★ 1 cited

Efficient Nearest Neighbor Search Using Dynamic Programming

Pengfei Wang, Jiantao Song, Shiqing Xin +4

Given a collection of points in R^3, KD-Tree and R-Tree are well-known nearest neighbor search (NNS) algorithms that rely on space partitioning and spatial indexing techniques. How…

cs.CV2024

Deep-PE: A Learning-Based Pose Evaluator for Point Cloud Registration

Junjie Gao, Chongjian Wang, Zhongjun Ding +4

In the realm of point cloud registration, the most prevalent pose evaluation approaches are statistics-based, identifying the optimal transformation by maximizing the number of con…

cs.CV2024

NeurCross: A Neural Approach to Computing Cross Fields for Quad Mesh Generation

Qiujie Dong, Huibiao Wen, Rui Xu +6

Quadrilateral mesh generation plays a crucial role in numerical simulations within Computer-Aided Design and Engineering (CAD/E). Producing high-quality quadrangulation typically r…

cs.LG2024

ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models

Rui Xu, Jiepeng Wang, Hao Pan +6

In this paper, we study an under-explored but important factor of diffusion generative models, i.e., the combinatorial complexity. Data samples are generally high-dimensional, and…

cs.GR2024★ 1 cited

CWF: Consolidating Weak Features in High-quality Mesh Simplification

Rui Xu, Longdu Liu, Ningna Wang +7

In mesh simplification, common requirements like accuracy, triangle quality, and feature alignment are often considered as a trade-off. Existing algorithms concentrate on just one…

cs.CV2024

NeurCADRecon: Neural Representation for Reconstructing CAD Surfaces by Enforcing Zero Gaussian Curvature

Qiujie Dong, Rui Xu, Pengfei Wang +5

Despite recent advances in reconstructing an organic model with the neural signed distance function (SDF), the high-fidelity reconstruction of a CAD model directly from low-quality…